Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

update with latest papers #38

Merged
merged 3 commits into from
Jan 28, 2018
Merged

update with latest papers #38

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
c7c109b
update with latest paper
ReDeiPirati Jan 27, 2018
3a7a94f
Add Scalable and accurate deep learning for electronic health
ReDeiPirati Jan 27, 2018
2e36f2f
Fix typo
ReDeiPirati Jan 27, 2018
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
17 changes: 16 additions & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,5 +1,17 @@
#### 2018-01

- Kernel Feature Selection via Conditional Covariance Minimization [[NIPS paper](https://papers.nips.cc/paper/7270-kernel-feature-selection-via-conditional-covariance-minimization.pdf)] [[article](http://bair.berkeley.edu/blog/2018/01/23/kernels/)] [[code](https://github.com/Jianbo-Lab/CCM)]
- Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents [[arXiv](https://arxiv.org/abs/1801.08116)] [[article](https://deepmind.com/blog/open-sourcing-psychlab/)] [[code](https://github.com/deepmind/lab/tree/master/game_scripts/levels/contributed/psychlab)]
- Fine-tuned Language Models for Text Classification [[arXiv](https://arxiv.org/abs/1801.06146)] [[code]()] (soon)
- Deep Learning: An Introduction for Applied Mathematicians [[arXiv](https://arxiv.org/abs/1801.05894v1)]
- Innateness, AlphaZero, and Artificial Intelligence [[arXiv(https://arxiv.org/abs/1801.05667)]]
- Can Computers Create Art? [[arXiv](https://arxiv.org/abs/1801.04486)]
- eCommerceGAN : A Generative Adversarial Network for E-commerce [[arXiv](https://arxiv.org/abs/1801.03244)]
- Expected Policy Gradients for Reinforcement Learning [[arXiv](https://arxiv.org/abs/1801.03326)]
- DroNet: Learning to Fly by Driving [[UZH docs](http://rpg.ifi.uzh.ch/docs/RAL18_Loquercio.pdf)] [[article](http://rpg.ifi.uzh.ch/dronet.html)] [[code](https://github.com/uzh-rpg/rpg_public_dronet)]
- Symmetric Decomposition of Asymmetric Games [[Scientific Reports](https://www.nature.com/articles/s41598-018-19194-4)] [[article](https://deepmind.com/blog/game-theory-insights-asymmetric-multi-agent-games/)]
- Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor [[arXiv](https://arxiv.org/abs/1801.01290)] [[code](https://github.com/haarnoja/sac)]
- SBNet: Sparse Blocks Network for Fast Inference [[arXiv](https://arxiv.org/pdf/1801.02108.pdf)] [[article](https://eng.uber.com/sbnet/)] [[code](https://github.com/uber/sbnet)]
- DeepMind Control Suite [[arXiv](https://arxiv.org/abs/1801.00690)] [[code](https://github.com/deepmind/dm_control)]
- Deep Learning: A Critical Appraisal [[arXiv](https://arxiv.org/abs/1801.00631)]

Expand All @@ -11,7 +23,8 @@
- The NarrativeQA Reading Comprehension Challenge [[arXiv](https://arxiv.org/abs/1712.07040v1)] [[dataset](https://github.com/deepmind/narrativeqa)]
- Objects that Sound [[arXiv](https://arxiv.org/abs/1712.06651)]
- Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions [[arXiv](https://arxiv.org/abs/1712.05884)] [[article](https://research.googleblog.com/2017/12/tacotron-2-generating-human-like-speech.html)] [[article2](https://google.github.io/tacotron/publications/tacotron2/index.html)]
- Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning [[arXiv](https://arxiv.org/abs/1712.06567)]
- Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning [[arXiv](https://arxiv.org/abs/1712.06567)] [[article](https://eng.uber.com/deep-neuroevolution/)] [[code](https://github.com/uber-common/deep-neuroevolution)]
- Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents [[arXiv](https://arxiv.org/abs/1712.06560)] [[article](https://eng.uber.com/deep-neuroevolution/)] [[code](https://github.com/uber-common/deep-neuroevolution)]
- Superhuman AI for heads-up no-limit poker: Libratus beats top professionals [[Science](http://science.sciencemag.org/content/early/2017/12/15/science.aao1733)]
- Mathematics of Deep Learning [[arXiv](https://arxiv.org/abs/1712.04741)]
- State-of-the-art Speech Recognition With Sequence-to-Sequence Models [[arXiv](https://arxiv.org/abs/1712.01769)] [[article](https://research.googleblog.com/2017/12/improving-end-to-end-models-for-speech.html)]
Expand Down Expand Up @@ -75,6 +88,8 @@
- Neural Task Programming: Learning to Generalize Across Hierarchical Tasks [[arXiv](https://arxiv.org/abs/1710.01813)]
- Neural Color Transfer between Images [[arXiv](https://arxiv.org/abs/1710.00756)]
- The hippocampus as a predictive map [[biorXiv](https://www.biorxiv.org/content/biorxiv/early/2017/07/25/097170.full.pdf)] [[article](https://deepmind.com/blog/hippocampus-predictive-map/)]
- Scalable and accurate deep learning for electronic health
records [[arXiv](https://arxiv.org/abs/1801.07860)]

#### 2017-09

Expand Down